Value of metagenomic next-generation sequencing in the etiology diagnosis of bacterial meningitis in children.
10.3760/cma.j.cn112140-20220317-00214
- VernacularTitle:宏基因组二代测序技术在儿童细菌性脑膜炎病原诊断中的价值
- Author:
Zi Xuan WANG
1
;
Xia WU
1
;
Jun XU
1
;
Ying Zi YE
1
;
Shu Zhen HAN
1
;
Li Jing YE
1
;
Bing Bing WU
2
;
Chuan Qing WANG
3
;
Hui YU
1
Author Information
1. Department of Infectious Diseases, Children's Hospital of Fudan University, Clinical Center for Infectious Diseases and Immunology, Shanghai 201102, China.
2. Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China.
3. Microbiology Department of Clinical Medical Laboratory, Children's Hospital of Fudan University, Shanghai 201102, China.
- Publication Type:Journal Article
- MeSH:
Child;
Escherichia coli;
Fatigue Syndrome, Chronic;
Female;
Gram-Positive Bacteria;
High-Throughput Nucleotide Sequencing/methods*;
Humans;
Male;
Meningitis, Bacterial/microbiology*;
Metagenomics/methods*;
Retrospective Studies;
Sensitivity and Specificity
- From:
Chinese Journal of Pediatrics
2022;60(8):769-773
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the value of metagenomic next-generation sequencing (mNGS) in the etiology diagnosis of bacterial meningitis in children. Methods: The etiological results of 189 children diagnosed with "bacterial meningitis" or "purulent meningitis" or "central nervous system infection" in the Children's Hospital of Fudan University from 1st January 2019 to 31st December 2020 were analyzed retrospectively. The cerebrospinal fluid (CFS) of the children with bacterial meningitis was detected by culture and mNGS respectively, and the difference of pathogen detection rate between the 2 methods was analyzed. According to the age at the time of visit, the children were divided into neonatal group (≤28 days of age) and non-neonatal group (>28 days of age), and χ2 test was used to compare the positive rate between the 2 groups. Taking CFS culture as the gold standard, the sensitivity and specificity of mNGS in the diagnosing of bacterial meningitis in children were analyzed. Results: Among these 189 children with bacterial meningitis, 116 were males and 73 were females. A total of 76 strains of pathogens were detected in blood and (or) CSF cultures, of which 50 strains (65.8%) were Gram-positive bacteria; among those, 18 strains (23.7%) of Streptococcus agalactiae, 17 strains (19.7%) of Escherichia coli and 15 strains (19.7%) of Streptococcus pneumoniae were detected with higher detection rate. The infection rate of Gram-positive bacteria in the non-neonatal group was higher than that in the neonatal group (76.0% (38/50) vs. 50.0% (13/26), χ2=5.24, P=0.020).The same CSF samples of 48 cases were tested by mNGS and culture at the same time, and the detection rate of mNGS was higher than that of CSF culture (20 cases (41.7%) vs. 12 cases (25.0%), χ2=16.45, P<0.001). The consistency of mNGS and culture results was 79.2% (38/48), and the same pathogen was detected in 11 children with both positive mNGS and CSF culture. Taking the results of CSF culture as the gold standard, the sensitivity of mNGS in the diagnosing of bacterial meningitis was 91.7%, and the specificity was 75.0%. Conclusions: The mNGS technology can improve the pathogen detection rate of bacterial meningitis in children, and has a high consistency with CSF culture. In suspected cases where the pathogen cannot be identified by traditional methods, CSF mNGS should be considered timely.
